• DocumentCode
    1981776
  • Title

    Motion Trends Detection in Wireless Sensor Networks

  • Author

    Trajcevski, Goce ; Avci, Besim ; Zhou, Fan ; Tamassia, Roberto ; Scheuermann, Peter ; Miller, Lauren ; Barber, Adam

  • fYear
    2012
  • fDate
    23-26 July 2012
  • Firstpage
    232
  • Lastpage
    237
  • Abstract
    We address the problem of efficient detection of destination-related motion trends in Wireless Sensor Networks (WSN) where tracking is done in collaborative manner among the sensor nodes participating in location detection. In addition to determining a single location, applications may need to detect whether certain properties are true for the (portion of the) entire trajectories. Transmitting the sequence of (location, time) values to a dedicated sink and relying on the sink to detect the validity of the desired properties is a brute-force approach that generates a lot of communication overhead. We present an in-network distributed algorithm for efficient detecting of the Continuously Moving Towards predicate with respect to a given destination that is either a point or a region with polygonal boundary. Our experiments demonstrate that the proposed approaches yield substantial savings when compared to the brute-force one.
  • Keywords
    groupware; wireless sensor networks; WSN; brute-force approach; collaborative manner; destination-related motion trends; location detection; motion trends detection; wireless sensor networks; Educational institutions; Image edge detection; Market research; Protocols; Tracking; Trajectory; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Data Management (MDM), 2012 IEEE 13th International Conference on
  • Conference_Location
    Bengaluru, Karnataka
  • Print_ISBN
    978-1-4673-1796-2
  • Electronic_ISBN
    978-0-7695-4713-8
  • Type

    conf

  • DOI
    10.1109/MDM.2012.38
  • Filename
    6341394